Get Started

In this project we can create models to assign labels to issues in repositories. Check out the content page for a detailed overview of this project.

Try it out yourself

There are interactive and reproducible notebooks for this entire project available for anyone to start using on the public JupyterHub instance on the Massachusetts Open Cloud (MOC) right now!

1. To get started, access JupyterHub, select log in with moc-sso and sign in using your Google Account.
2. After signing in, on the spawner page, please select the Data Science Base in the JupyterHub Notebook Image section from the dropdown and select a Medium container size and hit Start to start your server.
3. Once your server has spawned, you should open a terminal and run the command git clone https://github.com/aicoe-aiops/github-labeler.git.
4. Then, run the commands cd github-labeler followed by pipenv install in order to install all the required packages.
5. Rename the .env.example file to just .env and fill in your desired environment variables.
6. Now you are ready to run whatever code you wish. Check out the content page with project blog and notebooks to see what features you can play around with.

If you need more help navigating the Operate First environment, we have a few short videos to help you get started.